Software engineer for image management and analysis

We are looking for a highly motivated Software Engineer to join the group of Prof. Pavone at the European Laboratory for Non-linear Spectroscopy in Florence, in the framework of the European Flagship Human Brain Project. The successful candidate will optimize existing tools for the management and analysis of very large (> 1 TB) neuroanatomical image datasets obtained with cutting-edge optical microscopies. Her/his duties will also include the deployment of selected applications on high-performance computing environment, and the integration of deep-learning software for image segmentation directly inside data-producing apparatuses. The applicant must have significant expertise in software development, should master at least one commonly used programming language, and must have at least basic knowledge of Python. A PhD or Master degree in Computer Science/Engineering/Physics/Mathematics is preferred, together with previous research experience in image analysis or machine learning. Fluency in English, excellent communication skills, and the ability to work in a multidisciplinary international environment are required.

The successful applicant will be hired with a 1 year, renewable research fellowship (‘Assegno di ricerca’) at the University of Florence. She/he will have the opportunity to work in the European-wide community of the Human Brain Project, and to interact with private companies working the image analysis field. Preliminary applications, including CV, list of publications and statement of research interests should be sent to Prof. Francesco S. Pavone (pavone@lens.unifi.it).